A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch

By Yong Zhang, D. Gong, Zhonghai Ding. Information Sciences, 2012

295 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5468697e8c0a6a73b17d42b7fe7bc9caedf488a9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yudong Zhang
2. Abdolreza Hatamlou
3. Genlin Ji
4. Shuihua Wang
5. Seyedali Mirjalili
6. Gaurav Dhiman
7. Vijay Kumar
8. Seyed Mohammad Mirjalili

In Electrical and Electronic Engineering

1. Yudong Zhang
2. Abdolreza Hatamlou

Citations in the corpus

• Black hole: A new heuristic optimization approach for data clustering (2013, methodology): “Nature-inspired metaheuristic algorithms have now been used in many fields such as computer science [2,21,30], data mining [76,87], industry [24], agriculture [26], computer vision [13,14,70,82], forecasting [10], medicine and biology [12], scheduling [34], economy [90] and engineering [60].”
• A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications (2015, background): “[33] proposed a new bare-bones multiobjective PSO algorithm to solve the environmental/EDPs.”